For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.

This is in contrast to the **development** stages, where you are constantly changing the code, breaking it and fixing it, stopping and restarting the development server, etc.

# The Go Programming Language

Go is an open source programming language that makes it easy to build simple,
reliable, and efficient software.

![Gopher image](https://golang.org/doc/gopher/fiveyears.jpg)
*Gopher image by [Renee French][rf], licensed under [Creative Commons 4.0 Attribution license][cc4-by].*

Our canonical Git repository is located at https://go.googlesource.com/go.
There is a mirror of the repository at https://github.com/golang/go.

     * The DOS file attributes to filter on.
     */
    protected int attributes;

    /**
     * Creates a DOS file filter with the specified wildcard and attributes.
     * This filter can be considerably more efficient than other file filters
     * as the specified wildcard and attributes are passed to the server for
     * filtering there (although attributes are largely ignored by servers

        }
    }

    @Nested
    @DisplayName("Performance and concurrency")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle multiple lookups efficiently")
        void testMultipleLookups() throws IOException {
            // Test that multiple lookups work correctly
            for (int i = 0; i < 100; i++) {

     */
    protected String wildcard;

    /**
     * The DOS file attributes to filter on.
     */
    protected int attributes;

    /**
     * This filter can be considerably more efficient than other file filters
     * as the specified wildcard and attributes are passed to the server for
     * filtering there (although attributes are largely ignored by servers

    return new LinkedHashMultiset<>(distinctElements);
  }

  /**
   * Creates a new {@code LinkedHashMultiset} containing the specified elements.
   *
   * <p>This implementation is highly efficient when {@code elements} is itself a {@link Multiset}.
   *
   * @param elements the elements that the multiset should contain
   */
  public static <E extends @Nullable Object> LinkedHashMultiset<E> create(

 * scopes and their associated implied scopes, so that the user can filter apply a series of implication rules in a
 * single step. This should be a more efficient implementation of multiple standard {@link ScopeArtifactFilter}
 * instances ORed together.
 *
 */
public class CumulativeScopeArtifactFilter extends AbstractScopeArtifactFilter {

    private Set<String> scopes;

 *
 * <p>The {@link #outEdgeToNode} map allows this class to work on networks with parallel edges. See
 * {@link EdgesConnecting} for a class that is more efficient but forbids parallel edges.
 *
 * @author James Sexton
 * @param <E> Edge parameter type
 */
abstract class MultiEdgesConnecting<E> extends AbstractSet<E> {

  private final Map<E, ?> outEdgeToNode;

import java.nio.charset.Charset;
import org.jspecify.annotations.Nullable;

/**
 * An abstract implementation of {@link Hasher}, which only requires subtypes to implement {@link
 * #putByte}. Subtypes may provide more efficient implementations, however.
 *
 * @author Dimitris Andreou
 */
abstract class AbstractHasher implements Hasher {
  @Override
  @CanIgnoreReturnValue
  public final Hasher putBoolean(boolean b) {

import java.nio.charset.Charset;
import org.jspecify.annotations.Nullable;

/**
 * An abstract implementation of {@link Hasher}, which only requires subtypes to implement {@link
 * #putByte}. Subtypes may provide more efficient implementations, however.
 *
 * @author Dimitris Andreou
 */
abstract class AbstractHasher implements Hasher {
  @Override
  @CanIgnoreReturnValue
  public final Hasher putBoolean(boolean b) {